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Record W2095866839 · doi:10.1109/tcad.2011.2108559

Adjoint Sensitivity Analysis of Nonlinear Distortion in Radio Frequency Circuits

2011· article· en· W2095866839 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 2011
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsMcGill University
Fundersnot available
KeywordsIntermodulationSensitivity (control systems)Distortion (music)Nonlinear distortionNonlinear systemElectronic circuitFigure of meritComputer sciencePoint (geometry)Electronic engineeringRadio frequencyLinearityMathematicsTelecommunicationsEngineeringElectrical engineeringPhysicsBandwidth (computing)

Abstract

fetched live from OpenAlex

Measuring the effects of nonlinear intermodulation distortion is one of the main requirements in the design of radio frequency circuits. The third-order intercept point (IP3) is one of the main figures of merit that is used to characterize this distortion and is expensive to compute due to the presence of multi-tone inputs. Recently, an efficient method for computing the third order intercept point, using moments analysis, was presented. However, this approach does not provide any sensitivity information. In this paper, we propose an efficient and robust method for computing the sensitivity of IP3 using adjoint moments with minimal additional computational cost.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.848
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.214
Teacher spread0.175 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it